Product Management, Human Data Platform

About the role

Anthropic's Human Data Platform team builds systems designed to collect data that improves our models. This includes the infrastructure to simulate real-world environments and tasks, novel interfaces for data vendors to use, and the pipelines that enable researchers to gather high-quality data at scale. As Claude's real-world usage evolves, so do our data needs — and our tooling has to keep pace. You'll work alongside an engineering team that's quickly prototyping and shipping, help make smart bets about where to focus, and ensure we're investing in tooling that scales. You'll work across research teams, data ops, and external vendors, translating what you learn into clear direction on what to build next.

Responsibilities

• Own the product direction for our human data tooling, with clear prioritization across labeling interfaces, infrastructure investments, data quality, and operational visibility
• Partner with engineering to scope and ship quickly, staying close to the work in a fast-moving prototyping environment
• Develop a deep understanding of research and training approaches to identify where tooling investments will have the highest leverage
• Identify patterns across one-off requests and push toward reusable infrastructure that compounds over time
• Sit in on crowd worker and vendor sessions to systematically understand pain points
• Define and track outcome-based KPIs: time-to-launch for new data collection projects, end-to-end data quality scores, and measurable impact on model evaluation scores

The ideal candidate

• Believes that advanced AI systems could have a transformative effect on the world and is interested in helping make sure that transformation goes well
• Is drawn to ambiguous, high-stakes environments where you’ll play a big role in defining the product strategy
• Shipped products where they had to deeply understand technical constraints, not just translate requirements
• Experience working directly with research teams, ideally in AI/ML contexts
• Is equally comfortable talking to crowdworkers about their workflow and to research teams about data quality methodology
• Is a quick study—this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level) to be effective
• Has an interest in how humans interact with AI systems and how to design experiences that elicit high-quality data

Additional qualifications

• Experience building data collection tools, annotation platforms, or human-in-the-loop pipelines
• Experience working with researchers who are internal users/customers
• Good instincts and an eye for intuitive user experiences, particularly those involving complex UI interactions or annotation workflows
• Strong project management skills: prioritization, communicating across team/org boundaries

Compensation and logistics

The annual compensation range for this role is $305,000 - $385,000 USD. Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.